38 research outputs found
The absorption spectrum of hydrogenated silicon carbide nanocrystals from ab initio calculations
The electronic structure and absorption spectrum of hydrogenated silicon
carbide nanocrystals (SiCNC) have been determined by first principles
calculations. We show that the reconstructed surface can significantly change
not just the onset of absorption, but the \emph{shape} of the spectrum at
higher energies. We found that the absorption treshold of the reconstructed
SiCNs cannot be accurately predicted from traditional density functional theory
calculations.Comment: 4 pages, 3 figures, 1 tabl
A marsi Gale-kráter formakincsének és felszíni összetételének vizsgálata webes térinformatikai eszközök alkalmazásával
Since the landing of NASA’s Curiosity rover inside the Gale Crater, this region became the most thoroughly investigated corner of Mars. A great variety of planetary datasets were acquired over its centrally located Aeolis Mons and the sorrounding plains as well, coupled with the direct field measurements and ground truth information gathered by the six-wheeled rover itself. These data sources can be integrated, analyzed and visualized by web-based GIS methods and platforms, in order to facilitate the fruitful cooperation between planetary scientists from different research fields and the public dissemination of these outstanding results, in the form of interactive web map applications
Gipsz hasadékkarrjainak vizsgálata modellkísérletekkel = The Study of Grikes of Plaster with Model Experiments
Comparative analysis of Landsat TM, ETM+, OLI and EO-1 ALI satellite images at the Tisza-tó area, Hungary
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Effect of water supply and season on the productivity and carotenoid content of cherry type processing tomato
The weather, the growing conditions and the genetic background of the varieties determine the efficiency of processing tomato growing. During years Strombolino a cherry type tomato hybrid with determinate growth habit was investigated to show the effect of unirrigated and regularly irrigated treatments on the yield quantity and phytonutrients content under open field conditions. Too much water (precipitation + irrigation) was disadvantaged for the productivity and yield quality of cherry tomato hybrid because the amount of diseased yield increased while the soluble solids content (°Brix) and lycopene content of tomato fruit decreased. In the mildly wet year, irrigation had positive effect on the marketable yield, the b-carotene and zeaxanthin content of tomato fruit but the ratio of diseased fruit increased. In the dry years smaller weighed fruits were produced but the regular irrigation significantly increased the marketable yield, °Brix, b-carotene and cis lycopene content of fruit
Complex landscape ecotone analysis on the borderline region of two landscapes in the South Great Plain (Hungary)
Comparative analysis of Landsat TM, ETM+, OLI and EO-1 ALI satellite images at the Tisza-tó area, Hungary
Satellite images are important information sources of land cover analysis or land cover change monitoring. We used the sensors of four different spacecraft: TM, ETM+, OLI and ALI. We classified the study area
using the Maximum Likelihood algorithm and used segmentation techniques for training area selection.
We validated the results of all sensors to reveal which one produced the most accurate data. According to
our study Landsat 8’s OLI performed the best (96.9%) followed by TM on Landsat 5 (96.2%) and ALI on
EO-1 (94.8%) while Landsat 7’s ETM+ had the worst accuracy (86.3%)
LIDAR ÉS TOPOGRÁFIAI TÉRKÉP ALAPÚ DIGITÁLIS TEREPMODELLEKBŐL LEVEZETETT, ILLETVE KÉZZEL DIGITALIZÁLT TÖBÖR-KÖRVONALAK MORFOMETRIAI ÖSSZEHASONLÍTÁSA AZ AGGTELEKI-KARSZT PÉLDÁJÁN
An advantageous consequence of the rapid evolution of topographic data acquisition techniques is possibility to define the topography with increasingly higher accuracy. New remote sensing techniques and data processing methods allow to detect microtopographic features of karst phenomena with unprecedented precision. Our aim in this study was to compare the digital terrain models (DTMs) generated from various data sources acquired by different technologies to define dolines in the Hungarian part of the Gömör-Torna karst. An automated method of doline recognition is presented here; the results of this processing technique is compared to that of the classic outlining. We compared the three doline database using geomorphometric tools. Our conclusion is that, however, the classic method is efficient, but the LiDAR DTM-based method is more accurate in detecting and analyzing doline